Targeting Telomeres: Molecular Dynamics and Free Energy Simulation of Gold-Carbene Binding to DNA

DNA sequences in regulatory regions and in telomers at the ends of chromosomes frequently contain tandem repeats of guanine nucleotides that can form stacked structures stabilized by Hoogsten pairing and centrally bound monovalent cations. The replication and elongation of telomeres requires the disruption of these G-quadruplex structures. Hence, drug molecules such as gold (Au)-carbene that stabilize G-quadruplexes may also interfere with the elongation of telomeres and, in turn, could be used to control cell replication and growth. To better understand the molecular mechanism of Au-carbene binding to G-quadruplexes, we employed molecular dynamics simulations and free energy simulations. Whereas very restricted mobility of two Au-carbene ligands was found upon binding as a doublet to one side of the G-quadruplex, much larger translational and orientational mobility was observed for a single Au-carbene binding at the second G-quadruplex surface. Comparative simulations on duplex DNA in the presence of Au-carbene ligands indicates a preference for the minor groove and weaker unspecific and more salt-dependent binding than to the G-quadruplex surface. Analysis of energetic contributions reveals a dominance of nonpolar and van der Waals interactions to drive binding. The simulations can also be helpful for proposing possible modifications that could improve Au-carbene affinity and specificity for G-quadruplex binding.     

Molecular Dynamics Free Energy Calculations to Assess the Possibility of Water Existence in Protein Nonpolar Cavities

Are protein nonpolar cavities filled with water molecules? Although many experimental and theoretical investigations have been done, particularly for the nonpolar cavity of IL-1β, the results are still conflicting. To study this problem from the thermodynamic point of view, we calculated hydration free energies of four protein nonpolar cavities by means of the molecular dynamics thermodynamic integration method. In addition to the IL-1β cavity (69 ų), we selected the three largest nonpolar cavities of AvrPphB (81 ų), Trp repressor (87 ų), and hemoglobin (108 ų) from the structural database, in view of the simulation result from another study that showed larger nonpolar cavities are more likely to be hydrated. The calculations were performed with flexible and rigid protein models. The calculated free energy changes were all positive; hydration of the nonpolar cavities was energetically unfavorable for all four cases. Because hydration of smaller cavities should happen more rarely, we conclude that existing protein nonpolar cavities are not likely to be hydrated. Although a possibility remains for much larger nonpolar cavities, such cases are not found experimentally. We present a hypothesis to explain this: hydrated nonpolar cavities are quite unstable and the conformation could not be maintained.     

Influence of Chirality of Crizotinib on Its MTH1 Protein Inhibitory Activity: Insight from Molecular Dynamics Simulations and Binding Free Energy Calculations

As a promising target for the treatment of lung cancer, the MutT Homolog 1 (MTH1) protein can be inhibited by crizotinib. A recent work shows that the inhibitory potency of (S)-crizotinib against MTH1 is about 20 times over that of (R)-crizotinib. But the detailed molecular mechanism remains unclear. In this study, molecular dynamics (MD) simulations and free energy calculations were used to elucidate the mechanism about the effect of chirality of crizotinib on the inhibitory activity against MTH1. The binding free energy of (S)-crizotinib predicted by the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) and Adaptive biasing force (ABF) methodologies is much lower than that of (R)-crizotinib, which is consistent with the experimental data. The analysis of the individual energy terms suggests that the van der Waals interactions are important for distinguishing the binding of (S)-crizotinib and (R)-crizotinib. The binding free energy decomposition analysis illustrated that residues Tyr7, Phe27, Phe72 and Trp117 were important for the selective binding of (S)-crizotinib to MTH1. The adaptive biasing force (ABF) method was further employed to elucidate the unbinding process of (S)-crizotinib and (R)-crizotinib from the binding pocket of MTH1. ABF simulation results suggest that the reaction coordinates of the (S)-crizotinib from the binding pocket is different from (R)-crizotinib. The results from our study can reveal the details about the effect of chirality on the inhibition activity of crizotinib to MTH1 and provide valuable information for the design of more potent inhibitors.     

Molecular Dynamics and Free Energy Calculations of the B and Z Forms of C8-Arylguanine Modified Oligonucleotides

Abstract

Arylhydrazines found in the mushroom Agaricus bisporus have been shown to be carcinogenic. Upon metabolic activation, arylhydrazines are transformed into aryl radicals, forming 8-arylpurines, which may play a role in arylhydrazine carcinogenesis. These adducts are poorly read and inhibit chain extension but do alter the conformational preferences of oligonucleotides. We have shown that C8-phenylguanine modification of d(CGCGCG*CGCG) (G*= 8-phenylguanine) stabilizes it in the Z-DNA conformation (B/Z-DNA=1:1, 200 mM NaCl, pH 7.4). Here we have conducted molecular dynamics and free energy calculations to determine the sources(s) of these conformational affects and to predict the affect of the related C8- tolyl and C8-hydroxymethylphenyl guanine adducts on B/Z-DNA equilibrium. Force field parameters for the modified guanines were first developed using Guassian98 employing the B3LYP method and the standard 6–31G* basis set and fit to the Cornell 94 force field with RESP. Molecular dynamics simulations and free energy calculations, using the suite of programs contained in Amber 6 and 7 with the Cornell 94 force field, were used to determine the structural and thermodynamic properties of the DNA. The principal factors that drive conformation are stacking of the aryl group over the 5′-cytosine in the phenyl and tolyl modified oligonucleotides while hydrogen bonding opposes stacking in the hydroxymethylphenyl derivative. The phenyl and tolyl-modified DNA's favored the Z-DNA form as did the hydroxymethylphenyl derivative when hydrogen bonding was not present. The B-DNA conformation was preferred by the unmodified oligonucleotide and by the hydroxymethylphenyl-modified oligonucleotide when hydrogen bonding was considered. Z-DNA stability was not found to directly correlated with carcinogenicity and additional biological factors, such as recognition and repair, may also need to be considered in addition to Z-DNA formation.     

Exploring PHD Fingers and H3K4me0 Interactions with Molecular Dynamics Simulations and Binding Free Energy Calculations: AIRE-PHD1, a Comparative Study

PHD fingers represent one of the largest families of epigenetic readers capable of decoding post-translationally modified or unmodified histone H3 tails. Because of their direct involvement in human pathologies they are increasingly considered as a potential therapeutic target. Several PHD/histone-peptide structures have been determined, however relatively little information is available on their dynamics. Studies aiming to characterize the dynamic and energetic determinants driving histone peptide recognition by epigenetic readers would strongly benefit from computational studies. Herein we focus on the dynamic and energetic characterization of the PHD finger subclass specialized in the recognition of histone H3 peptides unmodified in position K4 (H3K4me0). As a case study we focused on the first PHD finger of autoimmune regulator protein (AIRE-PHD1) in complex with H3K4me0. PCA analysis of the covariance matrix of free AIRE-PHD1 highlights the presence of a “flapping” movement, which is blocked in an open conformation upon binding to H3K4me0. Moreover, binding free energy calculations obtained through Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) methodology are in good qualitative agreement with experiments and allow dissection of the energetic terms associated with native and alanine mutants of AIRE-PHD1/H3K4me0 complexes. MM/PBSA calculations have also been applied to the energetic analysis of other PHD fingers recognizing H3K4me0. In this case we observe excellent correlation between computed and experimental binding free energies. Overall calculations show that H3K4me0 recognition by PHD fingers relies on compensation of the electrostatic and polar solvation energy terms and is stabilized by non-polar interactions.     

Probing Difference in Binding Modes of Inhibitors to MDMX by Molecular Dynamics Simulations and Different Free Energy Methods

The p53-MDMX interaction has attracted extensive attention of anti-cancer drug development in recent years. This current work adopted molecular dynamics (MD) simulations and cross-correlation analysis to investigate conformation changes of MDMX caused by inhibitor bindings. The obtained information indicates that the binding cleft of MDMX undergoes a large conformational change and the dynamic behavior of residues obviously change by the presence of different structural inhibitors. Two different methods of binding free energy predictions were employed to carry out a comparable insight into binding mechanisms of four inhibitors PMI, pDI, WK23 and WW8 to MDMX. The data show that the main factor controlling the inhibitor bindings to MDMX arises from van der Waals interactions. The binding free energies were further divided into contribution of each residue and the derived information gives a conclusion that the hydrophobic interactions, such as CH-CH, CH-π and π-π interactions, are responsible for the inhibitor associations with MDMX.     

Hydrophobic Interactions Are a Key to MDM2 Inhibition by Polyphenols as Revealed by Molecular Dynamics Simulations and MM/PBSA Free Energy Calculations

p53, a tumor suppressor protein, has been proven to regulate the cell cycle, apoptosis, and DNA repair to prevent malignant transformation. MDM2 regulates activity of p53 and inhibits its binding to DNA. In the present study, we elucidated the MDM2 inhibition potential of polyphenols (Apigenin, Fisetin, Galangin and Luteolin) by MD simulation and MM/PBSA free energy calculations. All polyphenols bind to hydrophobic groove of MDM2 and the binding was found to be stable throughout MD simulation. Luteolin showed the highest negative binding free energy value of -173.80 kJ/mol followed by Fisetin with value of -172.25 kJ/mol. It was found by free energy calculations, that hydrophobic interactions (vdW energy) have major contribution in binding free energy.     

An Adiabatic Molecular Dynamics Method for the Calculation of Free Energy Profiles

A new molecular dynamics method for calculating free energy profiles for rare events is presented. The new method is based on the creation of an adiabatic separation between the reaction coordinate subspace and the remaining degrees of freedom within a molecular dynamics run. This is achieved by associating with the reaction coordinate(s) a high temperature and large mass, thereby allowing the activated process to occur while permitting the remaining degrees of freedom to respond adiabatically. In this limit, by applying a formal multiple time scale Liouville operator factorization, it can be rigorously shown that the free energy profiles are obtained directly from the probability distribution of the reaction coordinate subspace and, therefore, require no postprocessing of the output data. The new method is applied to a variety of model problems and its performance tested against free energy calculations using the "bluemoon ensemble" approach. The comparison shows that free energy profiles can be calculated with greater ease and efficiency using the new method.     

Exploring the Interaction of Some N- Benzyloxycarbonyl-L-Phenyl Alanyl-L-Alanine Ketones and Bovine Spleen Cathepsin B by Molecular Modeling and Binding Free Energy Calculation

Abstract

A semi-empirical method for estimation of binding free energy, recently proposed by Aqvist and coworkers, has been effectively tested in several protein-ligand binding cases. We have applied this linear interaction energy method to predict the binding of some N-benzy- loxycarbonyl-L-phenyl alanyl-L-alanine ketones with bovine cathepsin B and computed the respective absolute binding constants from averages of molecular dynamics simulations. It is found that the computer simulation results agree well with available experimental data and make it possible to understand better the origin of tight binding and inhibitor specificity of cathepsin B.     

Application of the Free Energy Calculations to Study Drug-enzyme and Drug-dna Complexes

Applications of two free energy calculation approaches are presented to study drug-biomolecule complexes. The first method, the free energy perturbation (FEP) method and molecular dynamics simulations has been applied to study the JG-365 inhibitor bound to the HIV-aspartic protease. The FEP method has been applied to predict the consequence of replacing each of the seven peptide bonds in the JG-365 by trans-ethylene or fluoroethylene units. The necessary initial conformations of the inhibitor for "in water" perturbations have been found using neural network clustering approach applied to the long molecular dynamics trajectory of the inhibitor in water solution. The second method is applied to study binding free energies of some DNA-drug complexes and is based on analysis of long molecular dynamics trajectories by continuum solvent approach (MM/PBSA).     

Revisiting Free Energy Calculations: A Theoretical Connection to MM/PBSA and Direct Calculation of the Association Free Energy

The prediction of absolute ligand-receptor binding affinities is essential in a wide range of biophysical queries, from the study of protein-protein interactions to structure-based drug design. End-point free energy methods, such as the Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) model, have received much attention and widespread application in recent literature. These methods benefit from computational efficiency as only the initial and final states of the system are evaluated, yet there remains a need for strengthening their theoretical foundation. Here a clear connection between statistical thermodynamics and end-point free energy models is presented. The importance of the association free energy, arising from one molecule's loss of translational and rotational freedom from the standard state concentration, is addressed. A novel method for calculating this quantity directly from a molecular dynamics simulation is described. The challenges of accounting for changes in the protein conformation and its fluctuations from separate simulations are discussed. A simple first-order approximation of the configuration integral is presented to lay the groundwork for future efforts. This model has been applied to FKBP12, a small immunophilin that has been widely studied in the drug industry for its potential immunosuppressive and neuroregenerative effects.     

Molecular Dynamics/Free Energy Perturbation Studies of the Thermostable V74I Mutant of Ribonuclease HI

Abstract

Recent site-directed mutagenesis and thermodynamic studies have shown that the V74I mutant of Escherichia coli ribonuclease HI (RNase HI) is more stable than the wild type protein [Ishikawa et al., Biochemistry 32, 6171 (1993)]. In order to clarify the stabilization mechanism of this mutant, we calculated the free energy change due to the mutation Val 74→Ile in both the native and denatured states by free energy perturbations based on molecular dynamics (MD) simulations. We carried out inclusive MD simulations for the protein in water; i.e., fully solvated, no artificial constraints applied, and all long-range Coulomb interactions included. We found that the free energy of the mutant increased slightly relative to the wild type, in the native state by 1.60 kcal/mol, and in the denatured state by 2.25 kcal/mol. The unfolding free energy increment of the mutant (0.66 ± 0.19 kcal/mol) was in good agreement with the experimental value (0.6 kcal/mol). The hysteresis error in the free energy calculations, i.e., forward and reverse perturbations, was only ±0.19 kcal/mol. These results show that the V74I mutant is stabilized relative to the wild type by the increased free energy of the denatured state and not by a decrease in the free energy of the native state as had been proposed earlier based on the mutant X-ray structure. It was found that the stabilization was caused by a loss of solvation energy in the mutant denatured state and not by improved packing interactions inside the native protein.     

Investigate the Binding of Catechins to Trypsin Using Docking and Molecular Dynamics Simulation

To explore the inhibitory mechanism of catechins for digestive enzymes, we investigated the binding mode of catechins to a typical digestive enzyme-trypsin and analyzed the structure-activity relationship of catechins, using an integration of molecular docking, molecular dynamics simulation and binding free energy calculation. We found that catechins with different structures bound to a conservative pocket S1 of trypsin, which is comprised of residues 189–195, 214–220 and 225–228. In the trypsin-catechin complexes, Asp189 by forming strong hydrogen bonding, and Gln192, Trp215 and Gly216 through hydrophobic interactions, all significantly contribute to the binding of catechins. The number and the position of hydroxyl and aromatic groups, the structure of stereoisomers, and the orientation of catechins in the binding pocket S1 of trypsin all affect the binding affinity. The binding affinity is in the order of Epigallocatechin gallate (EGCG) > Epicatechin gallate (ECG) > Epicatechin (EC) > Epigallocatechin (EGC), and 2R-3R EGCG shows the strongest binding affinity out of other stereoisomers. Meanwhile, the synergic conformational changes of residues and catechins were also analyzed. These findings will be helpful in understanding the knowledge of interactions between catechins and trypsin and referable for the design of novel polyphenol based functional food and nutriceutical formulas.     

Molecular Dynamics Calculations of Wild Type vs. Mutant Protein C: Relationship Between Binding Affinity to Endothelial Cell Protein C Receptor and Hereditary Disease

Abstract

Molecular dynamics simulations of the protein C γ-carboxyglutamic acid (Gla) domain and endothelial cell protein C receptor (EPCR) complex were performed to determine the effect of a hereditary disease, which results in a mutation (Gla 25 → Lys) in the protein C Gla domain. Our results suggest that the Gla 25 → Lys mutation causes a significant reduction in the binding force between protein C Gla domain and EPCR due to destabilization of the helix structure of EPCR and displacement of a Ca²⁺ ion.     

Probing the Flexibility of Tropomyosin and Its Binding to Filamentous Actin Using Molecular Dynamics Simulations

Tropomyosin (Tm) is a coiled-coil protein that binds to filamentous actin (F-actin) and regulates its interactions with actin-binding proteins like myosin by moving between three positions on F-actin (the blocked, closed, and open positions). To elucidate the molecular details of Tm flexibility in relation to its binding to F-actin, we conducted extensive molecular dynamics simulations for both Tm alone and Tm-F-actin complex in the presence of explicit solvent (total simulation time >400 ns). Based on the simulations, we systematically analyzed the local flexibility of the Tm coiled coil using multiple parameters. We found a good correlation between the regions with high local flexibility and a number of destabilizing regions in Tm, including six clusters of core alanines. Despite the stabilization by F-actin binding, the distribution of local flexibility in Tm is largely unchanged in the absence and presence of F-actin. Our simulations showed variable fluctuations of individual Tm periods from the closed position toward the open position. In addition, we performed Tm-F-actin binding calculations based on the simulation trajectories, which support the importance of Tm flexibility to Tm-F-actin binding. We identified key residues of Tm involved in its dynamic interactions with F-actin, many of which have been found in recent mutational studies to be functionally important, and the rest of which will make promising targets for future mutational experiments.     

Probing the Flexibility of Tropomyosin and Its Binding to Filamentous Actin Using Molecular Dynamics Simulations

Tropomyosin (Tm) is a coiled-coil protein that binds to filamentous actin (F-actin) and regulates its interactions with actin-binding proteins like myosin by moving between three positions on F-actin (the blocked, closed, and open positions). To elucidate the molecular details of Tm flexibility in relation to its binding to F-actin, we conducted extensive molecular dynamics simulations for both Tm alone and Tm-F-actin complex in the presence of explicit solvent (total simulation time >400 ns). Based on the simulations, we systematically analyzed the local flexibility of the Tm coiled coil using multiple parameters. We found a good correlation between the regions with high local flexibility and a number of destabilizing regions in Tm, including six clusters of core alanines. Despite the stabilization by F-actin binding, the distribution of local flexibility in Tm is largely unchanged in the absence and presence of F-actin. Our simulations showed variable fluctuations of individual Tm periods from the closed position toward the open position. In addition, we performed Tm-F-actin binding calculations based on the simulation trajectories, which support the importance of Tm flexibility to Tm-F-actin binding. We identified key residues of Tm involved in its dynamic interactions with F-actin, many of which have been found in recent mutational studies to be functionally important, and the rest of which will make promising targets for future mutational experiments.     

Binding and Channeling of Alternative Substrates in the Enzyme DmpFG: a Molecular Dynamics Study

DmpFG is a bifunctional enzyme comprised of an aldolase subunit, DmpG, and a dehydrogenase subunit, DmpF. The aldehyde intermediate produced by the aldolase is channeled directly through a buried molecular channel in the protein structure from the aldolase to the dehydrogenase active site. In this study, we have investigated the binding of a series of progressively larger substrates to the aldolase, DmpG, using molecular dynamics. All substrates investigated are easily accommodated within the active site, binding with free energy values comparable to the physiological substrate 4-hydroxy-2-ketovalerate. Subsequently, umbrella sampling was utilized to obtain free energy surfaces for the aldehyde intermediates (which would be generated from the aldolase reaction on each of these substrates) to move through the channel to the dehydrogenase DmpF. Small substrates were channeled with limited barriers in an energetically feasible process. We show that the barriers preventing bulky intermediates such as benzaldehyde from moving through the wild-type protein can be removed by selective mutation of channel-lining residues, demonstrating the potential for tailoring this enzyme to allow its use for the synthesis of specific chemical products. Furthermore, positions of transient escape routes in this flexible channel were determined.     

Virtual Screening,Molecular Interaction Field,Molecular Dynamics,Docking, Density Functional,and ADMET Properties of Novel AChE Inhibitors in Alzheimer's Disease

Abstract

Alzheimer's disease (AD) affects approximately 10% of the world's population with 65 years of age, being the most common form of dementia in adults and is characterized by senile plaquets and cholinergic deficits. Many drugs currently used for the treatment of the AD are based on the improvement of cholinergic neurotransmission achieved by Acetylcho- linesterase (AChE) inhibition, the enzyme responsible for acetylcholine hydrolysis. We have focused in this work on the usage of computer-aided molecular design by virtual screening, molecular dynamics with implicit and explicit water solvation, density functional, molecular interaction field studies, docking procedures, ADMET predictions in order to propose novel potential AChE inhibitor for the treatment of Alzheimer's disease.